Priyank Jaini

9 papers and 79 indexed citations i.

About

Priyank Jaini is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Priyank Jaini has authored 9 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Priyank Jaini’s work include Domain Adaptation and Few-Shot Learning (2 papers), Visual perception and processing mechanisms (2 papers) and Bayesian Methods and Mixture Models (2 papers). Priyank Jaini is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Visual perception and processing mechanisms (2 papers) and Bayesian Methods and Mixture Models (2 papers). Priyank Jaini collaborates with scholars based in Canada, United States and Denmark. Priyank Jaini's co-authors include Johannes Burge, Yaoliang Yu, Emiel Hoogeboom, Didrik Nielsen, Max Welling, Ivan Kobyzev, Pascal Poupart, Patrick Forré, Marcus A. Brubaker and Laura E. Middleton and has published in prestigious journals such as PLoS Computational Biology, Journal of Vision and International Journal of Approximate Reasoning.

In The Last Decade

Co-authorship network of co-authors of Priyank Jaini i

Fields of papers citing papers by Priyank Jaini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Priyank Jaini. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Priyank Jaini. The network helps show where Priyank Jaini may publish in the future.

Countries citing papers authored by Priyank Jaini

Since Specialization
Citations

This map shows the geographic impact of Priyank Jaini's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Priyank Jaini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyank Jaini more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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